Operating in the IT Consulting & Cloud Services sector, this role sits within a fast-moving cloud data engineering practice that delivers end-to-end analytics, ETL/ELT and real-time streaming solutions for enterprise clients. The position is fully on-site in India and focuses on designing, building and operating scalable data platforms on Google Cloud Platform (GCP) to support reporting, ML pipelines and analytics at scale.

Role & Responsibilities :

- Design and implement scalable, secure ETL/ELT data pipelines on GCP using Dataflow, Pub/Sub and BigQuery for batch and streaming use cases.

- Develop and productionize Python-based data services and orchestration workflows using Apache Airflow/Composer; automate deployment with Terraform and CI/CD pipelines.

- Define data models, ingestion patterns and partitioning/cluster strategies in BigQuery to optimise cost and query performance.

- Implement data reliability, monitoring and alerting using Cloud Monitoring/Stackdriver, logging best practices and SLIs/SLOs to maintain uptime and data quality.

- Collaborate with data scientists, analysts and stakeholders to translate business requirements into robust data solutions and performant datasets.

- Apply cloud security and IAM best practices; steward data governance, lineage and access controls across GCP resources.

Skills & Qualifications Must-Have :

- BigQuery

- Cloud Dataflow

- Cloud Pub/Sub

- Cloud Storage

- Apache Airflow

- Terraform

- Python

- SQL

Preferred :

- Dataproc

- Kubernetes

- Looker

Qualifications :

- Proven hands-on experience implementing production data pipelines and data modelling on GCP (on-site in India).

- Familiarity with cloud security, IAM, cost optimisation and data governance for enterprise workloads.

Benefits & Culture Highlights :

- Career growth within a specialist cloud-data practice and exposure to large enterprise analytics programs.

- Structured mentorship, technical training and opportunities to earn/maintain GCP certifications.

- Collaborative, delivery-focused culture with emphasis on engineering quality, observability and client impact.